Difference between revisions of "Tips"

From SUMOwiki
Jump to navigationJump to search
 
Line 2: Line 2:
 
* if you use the RBF neural network model type and you get a crash in "newrb" this is an error in the matlab implementation and not anything we can do about
 
* if you use the RBF neural network model type and you get a crash in "newrb" this is an error in the matlab implementation and not anything we can do about
 
* you can switch off adaptive sample selection if you do not specify a <SampleSelector> tag.  In this case all the available data will be used and only adaptive modeling will be done.  This only works with datasets.
 
* you can switch off adaptive sample selection if you do not specify a <SampleSelector> tag.  In this case all the available data will be used and only adaptive modeling will be done.  This only works with datasets.
 +
* If you want to benchmark your computer for Matlab speed simply run "bench" in matlab

Revision as of 10:50, 16 May 2007

  • The matlab neural network implementation is very slow! Try to avoid using crossvalidation but use test samples instead
  • if you use the RBF neural network model type and you get a crash in "newrb" this is an error in the matlab implementation and not anything we can do about
  • you can switch off adaptive sample selection if you do not specify a <SampleSelector> tag. In this case all the available data will be used and only adaptive modeling will be done. This only works with datasets.
  • If you want to benchmark your computer for Matlab speed simply run "bench" in matlab